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update model card README.md
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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- common_voice_11_0
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metrics:
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- wer
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model-index:
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- name: openai/whisper-large
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: common_voice_11_0
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type: common_voice_11_0
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config: ar
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split: test
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args: ar
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metrics:
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- name: Wer
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type: wer
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value: 51.296
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# openai/whisper-large
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This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the common_voice_11_0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3676
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- Wer: 51.296
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 8
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- eval_batch_size: 2
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- training_steps: 10000
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|
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| 0.2472 | 0.1 | 1000 | 0.3719 | 58.9560 |
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| 0.2015 | 0.2 | 2000 | 0.3487 | 53.5213 |
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| 0.1418 | 1.04 | 3000 | 0.3231 | 49.4320 |
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| 0.0921 | 1.14 | 4000 | 0.3284 | 56.1107 |
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| 0.0923 | 1.24 | 5000 | 0.3304 | 61.4227 |
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| 0.0483 | 2.08 | 6000 | 0.3460 | 55.952 |
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| 0.0391 | 2.18 | 7000 | 0.3538 | 51.1067 |
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| 0.0228 | 3.02 | 8000 | 0.3493 | 51.82 |
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| 0.0206 | 3.12 | 9000 | 0.3729 | 52.4000 |
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| 0.018 | 3.22 | 10000 | 0.3676 | 51.296 |
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### Framework versions
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- Transformers 4.28.0.dev0
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- Pytorch 2.0.0+cu117
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- Datasets 2.11.1.dev0
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- Tokenizers 0.13.2
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